Forward Deployment Engineer, Applied AI Agents (Intern) - PA

Job Description

JOB SCOPE:
The Forward Deployment Engineer (FDE) Intern will work within the SearsKAIros Applied AI Division at TransformCo, partnering directly with business and operational teams to identify opportunities for AI-driven automation and workflow optimization. This role combines software engineering, AI application development, operational problem solving, and stakeholder engagement. The intern will rapidly prototype, deploy, and improve AI agents that drive measurable operational and financial outcomes across various business functions including Sears Home Services, Kenmore, and Central Finance.

JOB SUMMARY:
The Forward Deployment Engineer (FDE) Intern is responsible for embedding with operational teams to understand existing workflows, identify inefficiencies, and develop production-ready AI agent solutions using the SearsKAIros Applied AI platform. This role requires a highly adaptable individual who can work in ambiguous environments, rapidly prototype solutions, integrate AI technologies, measure performance outcomes, and support adoption of AI-enabled workflows across the organization.

REPORTS TO:
CEO, Sears KAIros

Responsibilities/Skills/Experience Requirements

JOB DUTIES/RESPONSIBILITIES:

• Shadows business operators, dispatchers, planners, analysts, and finance partners to understand and document current manual processes and workflows
• Analyzes operational pain points and translate business workflows into AI agent specifications
• Designs, builds, tests, and deploys AI agents on the SearsKAIros Applied AI platform
• Integrates AI agents with internal systems and external AI models including Claude, OpenAI Realtime, Gemini, and MCP servers
• Prototypes and iterates quickly, owning the full lifecycle of AI solutions from concept through production deployment
• Develops evaluations, guardrails, monitoring, and rollback procedures for deployed AI agents
• Builds dashboards, KPI tracking, and reporting tools to measure operational and business impact
• Collaborates with engineering teams, operational leadership, and field teams to support implementation and adoption
• Trains users, respond to escalations, and incorporate operational feedback into continuous improvements
• Documents implementation patterns, best practices, and reusable processes to accelerate future AI deployments
• Presents workflow analyses, solution recommendations, and performance outcomes to stakeholders and leadership teams

JOB REQUIREMENTS:

• Some undergraduate education
• 1-2 years of related experience
• 18 years of age or older

REQUIRED SKILLS:

• Strong software engineering fundamentals with proficiency in Python and TypeScript
• Ability to quickly understand and modify unfamiliar codebases
• Hands-on experience building applications using Large Language Models (LLMs), including prompting, tool usage, function calling, retrieval systems, agent loops, and evaluation frameworks
• Experience deploying or shipping AI-based solutions or applications
• Working knowledge of SQL and data analysis tools, including the ability to independently query and analyze data from platforms such as Snowflake
• Strong problem-solving skills and ability to work effectively in ambiguous, fast-paced environments
• Excellent written and verbal communication skills, including the ability to document workflows and present findings clearly to both technical and non-technical audiences
• Ability to collaborate directly with operational stakeholders and business users
• Currently enrolled in a Bachelor s, Master s, or PhD program in Computer Science, Electrical Engineering, Operations Research, Applied Mathematics, or a related quantitative field
• Authorized to work in the United States and able to complete required background checks prior to systems access

PREFERRED SKILLS:

• Familiarity with MCP, agent orchestration frameworks, or related technologies such as LangChain, LlamaIndex, or OpenAI Agents SDK
• Prior internship or project experience deploying AI or machine learning solutions in enterprise or operational environments
• Exposure to field service operations, logistics, supply chain, contact center operations, or finance workflows
• Experience working with voice agents, real-time APIs, or telephony integrations
• Demonstrated ability to rapidly prototype and operationalize AI solutions with measurable business impact